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Relevant bibliographies by topics / Compressione dati

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Academic literature on the topic 'Compressione dati'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Compressione dati"

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Visocchi, M., M. Meglio, F. La Marca, and B. Cioni. "Esostosi ereditaria multipla e compressione cervicodorsale." Rivista di Neuroradiologia 9, no. 4 (1996): 501–3. http://dx.doi.org/10.1177/197140099600900424.

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L'esostosi multipla ereditaria o discondroplasia o condroplasia ereditaria deformante o aclasia diafisale è una malattia relativamente rara a carattere autosomico dominante a penetranza variabile. Nel presente studio, relativo ad un caso clinico giunto alla nostra osservazione, segnaliamo la peculiarità della localizzazione neurochirurgica (cervicodorsale) della malattia e suggeriamo, anche alla luce dei dati di letteratura, la strategia terapeutica più appropriata. La gravità della storia naturale, la possibilità di recidiva e la scarsa radiosensibilità, a nostro avviso stabiliscono la priori

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Severoni, Cecilia. "La sicurezza dell'aviazione civile e i limiti alla libertà di circolazione: riflessioni a seguito della pandemia da COVID-19." RIVISTA ITALIANA DI DIRITTO DEL TURISMO, no. 30 (September 2020): 148–84. http://dx.doi.org/10.3280/dt2020-030011.

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Il quadro normativo attuale in tema di sicurezza dell'aviazione civile è stato modificato in modo sostanziale dopo l'attacco alle torri gemelle e dispone un insieme di norme puntuali e dettagliate. Occorre tuttavia trovare un compromesso ragionevole tra l'obiettivo indicato della prevenzione, indagine, accertamento e repressione degli atti di terrorismo ed altri reati gravi e quello della protezione della libertà di circolazione e dei dati personali nel rispetto della vita privata degli interessati. In questa ottica la compressione del diritto alla protezione dei dati personali deve rispondere

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Cardinale, Antonio, and Francesco Paolo Calciano. "Insufficienza venosa cronica: epidemiologia, fisiopatologia e diagnosi." Cardiologia Ambulatoriale 29, no. 1 (2021): 41–53. http://dx.doi.org/10.17473/1971-6818-2021-1-6.

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La medicina dovrebbe essere un gioco di squadra, oggi sempre declamato ma poco realizzato. Andare al di là dell'individualismo, valido in ogni disciplina, lo è anche in ambito angiologico. La gestione della insufficienza venosa cronica (IVC) coinvolge diversi specialisti, dal medico di medicina generale (MMG), all’angiologo, al cardiologo, al nutrizionista, al ginecologo, al chirurgo vascolare per citarne alcuni. La prevalenza dell’IVC è elevata: un italiano su due è colpito da questa malattia. L’età media di chi la contrae è in genere sopra i 50 anni, e sono le donne a esserne maggiormente co

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Santos, Irineu de Oliveira. "Saggio sulla teoria di chi è Dio, la particella matrice e gli stami quantistici: nella formazione del tutto e dell'universo." Núcleo do Conhecimento 02, no. 09 (2021): 05–22. https://doi.org/10.32749/nucleodoconhecimento.com.br/fisica-it/chi-e-dio.

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Considerando che Dio non è nulla di assoluto, l'unico elemento eternamente presente, immutabile e neutro di qualsiasi equazione che può contenere tutto ciò che possiamo comprendere come dimensioni, particelle, onde, materia, energia, vita; dove senza questa forza l'universo e l'inverso non potrebbero mai avvenire, essendo una via unidirezionale, innegabile, questo saggio si propone di affrontare le considerazioni relative alla particella di Dio, nonché di descrivere questa particella, qui chiamata Particella Matrice e Stami quantistici (PM e EQ), discutendo il loro comportamento nello spazio,

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Mishra, Amit Kumar. "Versatile Video Coding (VVC) Standard: Overview and Applications." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 2 (2019): 975–81. http://dx.doi.org/10.17762/turcomat.v10i2.13578.

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Information security includes picture and video compression and encryption since compressed data is more secure than uncompressed imagery. Another point is that handling data of smaller sizes is simple. Therefore, efficient, secure, and simple data transport methods are created through effective data compression technology. Consequently, there are two different sorts of compression algorithm techniques: lossy compressions and lossless compressions. Any type of data format, including text, audio, video, and picture files, may leverage these technologies. In this procedure, the Least Significant

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Shevchuk, Yury Vladimirovich. "Memory-efficient sensor data compression." Program Systems: Theory and Applications 13, no. 2 (2022): 35–63. http://dx.doi.org/10.25209/2079-3316-2022-13-2-35-63.

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We treat scalar data compression in sensor network nodes in streaming mode (compressing data points as they arrive, no pre-compression buffering). Several experimental algorithms based on linear predictive coding (LPC) combined with run length encoding (RLE) are considered. In entropy coding stage we evaluated (a) variable-length coding with dynamic prefixes generated with MTF-transform, (b) adaptive width binary coding, and (c) adaptive Golomb-Rice coding. We provide a comparison of known and experimental compression algorithms on 75 sensor data sources. Compression ratios achieved in the tes

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Sharath, R., Sinha Shivani, B.I Supreeth, Hebbar B.C. Varun, and B. Santhosh. "Distributed Data Compression using Cloud Computing Approach." Journal of Optical Communication Electronics 5, no. 2 (2019): 5–10. https://doi.org/10.5281/zenodo.2656008.

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<em>Storage and data trafficking have grown a great deal over the past decade. Therefore, there is a need to reduce the size of the data for better speed and proper utilization of the bandwidth. There are compressions that happen online as well as some happen statically. The online based compression is in greater demand, since an online platform is much easier and faster. Static methods have a requisition of the entire file to be present at the time of transmission, while online compressions don’t. Compressions make use of an algorithm to effectively shrink the data. Depending upon the s

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P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2022.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag

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P, Srividya. "Optimization of Lossless Compression Algorithms using Multithreading." Journal of Information Technology and Sciences 9, no. 1 (2023): 36–42. http://dx.doi.org/10.46610/joits.2023.v09i01.005.

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The process of reducing the number of bits required to characterize data is referred to as compression. The advantages of compression include a reduction in the time taken to transfer data from one point to another, and a reduction in the cost required for the storage space and network bandwidth. There are two types of compression algorithms namely lossy compression algorithm and lossless compression algorithm. Lossy algorithms find utility in compressing audio and video signals whereas lossless algorithms are used in compressing text messages. The advent of the internet and its worldwide usag

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Xiao, Ling, Renfa Li, Juan Luo, and Zhu Xiao. "Energy-efficient recognition of human activity in body sensor networks via compressed classification." International Journal of Distributed Sensor Networks 12, no. 12 (2016): 155014771667966. http://dx.doi.org/10.1177/1550147716679668.

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Energy efficiency is an important challenge to broad deployment of wireless body sensor networks for long-term physical movement monitoring. Inspired by theories of sparse representation and compressed sensing, the power-aware compressive classification approach SRC-DRP (sparse representation–based classification with distributed random projection) for activity recognition is proposed, which integrates data compressing and classification. Random projection as a data compression tool is individually implemented on each sensor node to reduce the amount of data for transmission. Compressive class

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Dissertations / Theses on the topic "Compressione dati"

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Marconi, Chiara. "Tecniche di compressione senza perdita per dati unidimensionali e bidimensionali." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5394/.

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Pizzolante, Raffaele. "Compression and protection of multidimensional data." Doctoral thesis, Universita degli studi di Salerno, 2015. http://hdl.handle.net/10556/1943.

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2013 - 2014<br>The main objective of this thesis is to explore and discuss novel techniques related to the compression and protection of multidimensional data (i.e., 3-D medical images, hyperspectral images, 3-D microscopy images and 5-D functional Magnetic Resonance Images). First, we outline a lossless compression scheme based on the predictive model, denoted as Medical Images Lossless Compression algorithm (MILC). MILC is characterized to provide a good trade-off between the compression performances and reduced usage of the hardware resources. Since in the medical and medical-relate

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Pesare, Stefano. "Sistemi di Backup e tecniche di conservazione dei dati digitali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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La tesi si occupa del problema della conservazione dei dati digitali, spesso sottovalutato. Le odierne tecniche e strategie di conservazione e archiviazione non possono garantire da sole la sicurezza dei dati nel tempo, ma solo se vengono utilizzate sinergicamente. Durante questo percorso capiremo cosa siano i dati digitali, le loro caratteristiche e problematiche inerenti la loro gestione, nonché le tecniche di conservazione e storage. Vedremo come si sono evolute le memorie di massa, dalle schede perforate fino alla nascita dei dischi a stato solido. Inoltre, verranno introdotti il Cloud Com

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Williams, Ross Neil. "Adaptive data compression." Adelaide, 1989. http://web4.library.adelaide.edu.au/theses/09PH/09phw7262.pdf.

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Steinruecken, Christian. "Lossless data compression." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709134.

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Lindsay, Robert A., and B. V. Cox. "UNIVERSAL DATA COMPRESSION." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615552.

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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada<br>Universal and adaptive data compression techniques have the capability to globally compress all types of data without loss of information but have the disadvantage of complexity and computation speed. Advances in hardware speed and the reduction of computational costs have made universal data compression feasible. Implementations of the Adaptive Huffman and Lempel-Ziv compression algorithms are evaluated for performance. Compression ratios versus run times for different size data files

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Dušák, Petr. "Fractal application in data compression." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-201795.

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The mission of the Technology Transfer Programme Office is to increase impact on a society by transferring technologies developed by the European Space Agency. Method and Apparatus for compressing time series is a patented compression algorithm designed to be efficient as its purpose is to run on deep space probes or satellites. The algorithm is inspired by a method for fractal terrain generation, namely the midpoint displacement algorithm. This work introduces fractals, their application and modifying the patented algorithm, in order to achieve greater compression. The modification lies in mo

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Radhakrishnan, Radhika. "Genome data modeling and data compression." abstract and full text PDF (free order & download UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1447611.

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García, Sobrino Francisco Joaquín. "Sounder spectral data compression." Doctoral thesis, Universitat Autònoma de Barcelona, 2018. http://hdl.handle.net/10803/663984.

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IASI (Infrared Atmospheric Sounding Interferometer) es un espectrómetro basado en la transformada de Fourier diseñado para medir radiación infrarroja emitida por La Tierra. A partir de estas mediciones se generan datos con una precisión y resolución espectral sin precedentes. Esta información es útil para obtener perfiles de temperatura y humedad, así como concentraciones de gases traza, que son esenciales para la comprensión y monitorización del clima y para realizar previsiones atmosféricas. La alta resolución espectral, espacial y temporal de los datos producidos por el instrumento impli

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Du, Toit Benjamin David. "Data Compression and Quantization." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/79233.

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Data Compression Due to limitations in data storage and bandwidth, data of all types has often required compression. This need has spawned many different methods of compressing data. In certain situations the fidelity of the data can be compromised and unnecessary information can be discarded, while in other situations, the fidelity of the data is necessary for the data to be useful thereby requiring methods of reducing the data storage requirements without discarding any information. The theory of data compression has received much attention over the past half century, with some of the most i

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Books on the topic "Compressione dati"

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Salomon, David. Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9.

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Salomon, David. Data Compression. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-86092-8.

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Huang, Bormin, ed. Satellite Data Compression. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1183-3.

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Williams, Ross N. Adaptive Data Compression. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-4046-5.

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Motta, Giovanni, Francesco Rizzo, and James A. Storer, eds. Hyperspectral Data Compression. Kluwer Academic Publishers, 2006. http://dx.doi.org/10.1007/0-387-28600-4.

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Huang, Bormin. Satellite data compression. Springer Science+Business Media, LLC, 2011.

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Giovanni, Motta, Rizzo Francesco, and Storer James A. 1953-, eds. Hyperspectral data compression. Springer, 2005.

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Williams, Ross N. Adaptive Data Compression. Kluwer Academic Publishers, 1991.

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Salomon, David, and Giovanni Motta. Handbook of Data Compression. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-903-9.

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Sayood, Khalid. Introduction to data compression. 3rd ed. Elsevier, 2006.

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Book chapters on the topic "Compressione dati"

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Salomon, David. "Basic Techniques." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_1.

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Salomon, David. "Error Correcting Codes." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_10.

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Salomon, David. "Fourier Transform." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_11.

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Salomon, David. "Group 4 Codes Summary." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_12.

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Salomon, David. "Hashing." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_13.

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Salomon, David. "Interpolating Polynomials." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_14.

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Salomon, David. "Statistical Methods." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_2.

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Salomon, David. "Dictionary Methods." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_3.

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Salomon, David. "Image Compression." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_4.

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Salomon, David. "Other Methods." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_5.

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Conference papers on the topic "Compressione dati"

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Prior, Morgan E., Thomas J. Howard, Emily Light, Najib Ishaq, and Noah M. Daniels. "Generalized compression and compressive search of large datasets." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825508.

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Marin, Jeison, Leonardo Betancur, and Henry Arguello. "Compression Ratio Design in Compressive Spectral Imaging." In 2016 Data Compression Conference (DCC). IEEE, 2016. http://dx.doi.org/10.1109/dcc.2016.81.

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Jahanian, Shahriar, and A. J. McPhate. "Approximate Residual Interface Compression in a Laminated Magnet." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0072.

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Abstract Present design of large laminated magnets are based on effective modulus of elasticity for the plate stack that is invariant with interplate compression. Experimental results indicates this is not a valid assumption. This analysis considers the specific design used for compact electron storage ring dipole magnet at the Center for Advanced Micro Devices (CAMD) at Louisiana State University. An iterative technique, using FEM is developed to approximate the effective modulus throughout the magnet structure. This particular magnet is constructed from 1424 steel plates (1.5mm × 610mm × 780

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Fowler, James E. "Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures." In 2008 Data Compression Conference DCC. IEEE, 2008. http://dx.doi.org/10.1109/dcc.2008.26.

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Chenxi Tu, Eijiro Takeuchi, Chiyomi Miyajima, and Kazuya Takeda. "Compressing continuous point cloud data using image compression methods." In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016. http://dx.doi.org/10.1109/itsc.2016.7795789.

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Wang, Lizhi, Shizhe Tan, Runze Gong, Lu Tian, Zhike Cao, and Xiangdong Xing. "Data Compression Model based on Improved Compressive Sensing Algorithm." In 2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC). IEEE, 2023. http://dx.doi.org/10.1109/icftic59930.2023.10456311.

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Li, Pinghao, Hongkai Xiong, Henry Arguello, and Gonzalo R. Arce. "Embedded Transform Coding Based Lossless Compression in Compressive Spectral Imaging with Coded Aperture." In 2014 Data Compression Conference (DCC). IEEE, 2014. http://dx.doi.org/10.1109/dcc.2014.26.

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"Author Index." In Data Compression Conference. IEEE, 2005. http://dx.doi.org/10.1109/dcc.2005.19.

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Sangho Yoon, Chee Sun Won, Kyungsuk Pyun, and R. M. Gray. "Image classification using GMM with context information and with a solution of singular covariance problem." In Data Compression Conference. IEEE, 2003. http://dx.doi.org/10.1109/dcc.2003.1194076.

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"Author index." In Data Compression Conference. IEEE, 2003. http://dx.doi.org/10.1109/dcc.2003.1194078.

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Reports on the topic "Compressione dati"

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Creusere, Charles D., and Jim Witham. Data Compression Project. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada370497.

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Vankirk, George, Andreas Frank, Michael Roth, Brett Williams, and William Heard. Residual strength of a high-strength concrete subjected to triaxial prestress. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48055.

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This study investigates simplified mechanical loading paths that represent more complex loading paths observed during penetration using a triaxial chamber and a high-strength concrete. The objective was to determine the effects that stress-strain (load) paths have on the material’s unconfined compressive (UC) residual strength. The loading paths included hydrostatic compression (HC), uniaxial strain in compression (UX), and uniaxial strain load biaxial strain unload (UXBX). The experiments indicated that the load paths associated with nonvisible microstructural damage were HC and UX—which prod

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Gryder, R., and K. Hake. Survey of data compression techniques. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/10107839.

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Gryder, R., and K. Hake. Survey of data compression techniques. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5926128.

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Duff, C. R. W. Data compression and computation speed. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/315270.

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Clark, D. Argon Excluder Foam Compression Data. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/1031764.

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Pan, David. Efficient Data Compression Techniques for Weather Data. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada540395.

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Choi, Junho, and Mitchell R. Grunes. Lossless Data Compression of Packet Data Streams,. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada304792.

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Horan, Shield. Data Compression Techniques to Reduce Bandwidth. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada399290.

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Senecal, Joshua G. Length-Limited Data Transformation and Compression. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/877882.

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